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Record W2592631337 · doi:10.7870/cjcmh-2017-001

Decolonizing Approaches to Inuit Community Wellness: Conversations with Elders in a Nunavut Community

2017· article· en· W2592631337 on OpenAlexaffvenueabout
Candice Waddell-Henowitch, Renee Robinson, Allison Crawford

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of TorontoBrandon University
Fundersnot available
KeywordsParticipatory action researchInclusion (mineral)Community-based participatory researchCitizen journalismSociologyCapeGender studiesGeographyPolitical scienceAnthropologyArchaeology

Abstract

fetched live from OpenAlex

Nunavut communities struggle with numerous challenges related to social distress. It is important to specify that these struggles represent a rupture with traditional Inuit society. Most research to date has linked colonization and ongoing social inequity to these distresses. This community-based, participatory research project elicits traditional knowledge from Elders living in Cape Dorset, Nunavut. The aim is to identify Inuit values, beliefs, and actions with the potential to improve community wellness. The themes that emerge include respect, leadership, family connection, inclusion of traditional knowledge, working together, and resiliency. Results resonate with other community wellness research projects in Nunavut.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.309

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0300.015
Scholarly communication0.0040.004
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.150
GPT teacher head0.343
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2017
Admission routes3
Has abstractyes

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